Yesterday's Top Launches: 5 Tools from February 18, 2026 | thistools

Yesterday brought another wave of tools aimed at making our digital lives smarter and our workflows more efficient. From organizing thoughts to orchestrating complex AI agents, this batch of new developer tools reflects a clear trend toward practical, integrated intelligence.

Brainstream

If you've ever felt buried under a mountain of disorganized notes, Brainstream seems designed for you. It's an AI-powered note-taking app that goes beyond simple text storage. The core idea is that your notes shouldn't just sit there; they should actively work for you.

It captures thoughts via voice notes and transcribes them automatically, which is great for capturing ideas on the fly. More interestingly, its semantic search promises to find connections between notes that you might not have spotted yourself. The feature that stands out is the AI actions, which can supposedly create tasks from your natural language notes. Typing "remember to email Sarah about the Q2 projections next Tuesday" could theoretically generate a calendar item or a to-do. It operates on a freemium model and is available on web and mobile, making it accessible for anyone tired of static note apps.

The big question is whether its AI can reliably parse intent. If it works as advertised, it could be a significant step up from apps that simply store information.

Mozart for iOS

This one takes a different approach entirely. Mozart for iOS is about capturing the feeling of a moment, not just the facts. It lets you create short "sonic sketches"—basically, musical ideas—directly from your phone. You can then pair these audio snippets with your own photos and videos to generate a custom music video.

It’s a creative tool rather than a productivity one, and it’s completely free. The use case is niche but clear: musicians, storytellers, or anyone who wants to quickly create a mood-based memento. Imagine coming back from a hike, recording a simple melody inspired by the view, and instantly having a video set to it. It’s not going to replace a full-featured DAW or video editor, but as a fast, expressive sketchpad, it has a certain charm.

Boost.space

For teams drowning in data silos, Boost.space enters the scene as a no-code "Agentic Database." The term is a mouthful, but the concept is powerful: it aims to be a Single Source of Truth that automatically syncs and connects data from various business tools like CRMs, project management apps, and marketing platforms.

The "agentic" part means this structured, live data is then made readily available to AI agents and automations. Instead of an AI tool struggling with incomplete or outdated information from one app, it can pull from a centralized, constantly updated database. This is squarely aimed at operations managers, product teams, and developers building complex automations who need reliable context.

As a freemium web app, it lowers the barrier to entry for smaller teams wanting to clean up their data ecosystem. Its success will hinge on the breadth and reliability of its integrations.

MiniMax M2.5

In the world of large language models, efficiency is becoming the new battleground. MiniMax M2.5 is an open-source model billed as a "frontier model" for real-world productivity. Its specs are impressive: state-of-the-art performance in coding, search, and tool-calling, but with a heavy emphasis on cost-effectiveness.

The headline numbers—$1 per hour with a throughput of 100 tokens per second—are aimed directly at developers and companies looking to scale AI agents without incurring massive compute costs. For "long-horizon agents" that require extended chains of reasoning, this kind of economical performance could be a game enabler. Being open-source also means teams can customize and deploy it on their own infrastructure.

The real test will be how its performance holds up against established proprietary models in complex, real-world scenarios, but on paper, it addresses a critical pain point for practical AI adoption.

Figr AI

Product designers and product managers might want to take a close look at Figr AI. This is a design agent that learns your existing product's design language and then helps you generate new work that matches it. It connects via a Chrome extension to capture your live product and can also import design systems from Figma.

Once it understands your style, it can assist with creating Product Requirement Documents (PRDs), user flows, identifying edge cases, conducting UX reviews, and even generating A/B test variations and prototypes. This could dramatically speed up the iteration process and help maintain consistency.

The freemium model makes it easy to try. The potential downside is the same as with any AI that "learns" your style: if your existing design system is inconsistent, the output might be too. But for teams with a well-defined visual language, it could be a powerful co-pilot.

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